prime-radiant-inc

prime-radiant-inc / greenfield

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Reverse engineer clean behavioral specs from any codebase

47
1
100% credibility
Found Apr 28, 2026 at 47 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

Greenfield analyzes existing software to produce clean behavioral specifications, test examples, and checklists describing what the software does, for use in creating new implementations.

How It Works

1
📰 Discover Greenfield

You hear about Greenfield, a helpful tool that studies any software and turns it into clear 'what it does' guides for rebuilding fresh.

2
🛠️ Add to your AI helper

You easily add this tool to your AI coding assistant so it's ready to use.

3
🔍 Study a software project

You point the tool at a folder of software code, and it dives deep to understand every behavior.

4
⏳ Let it gather and create

The tool explores the software thoroughly and builds detailed guides, checklists, and example tests.

5
📁 Explore your new guides

You open neat folders full of clean instructions, proof of what it found, and ready-to-use tests.

🎉 Build better software

Your team uses these simple blueprints to create a fresh, improved version without old complications.

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Star Growth

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AI-Generated Review

What is greenfield?

Greenfield is a Claude Code plugin that reverse engineers clean behavioral specs from any codebase on GitHub or locally—think github reverse engineering for extracting what software truly does, without the messy internals. Point it at source code, docs, SDKs, runtime behavior, or even binaries via the `/analyze /path/to/target` command in the claude CLI, and it spits out sanitized specs, test vectors, acceptance criteria, and a provenance trail in a tidy workspace. Developers get implementation-agnostic blueprints perfect for fresh rewrites, like reverse engineered docs from minified JS bundles or decompiled natives.

Why is it gaining traction?

It stands out by pulling intel from seven sources—code, community, git history, UI, contracts—and running a full pipeline with audits to strip leaks, unlike basic github reverse commits scrapers or manual spec writing. Users love the `/sanitize` re-run for quick fixes and the output folders (raw evidence, clean specs, citations) that make provenance github reverse engineering a breeze. The hook? Adapts to any target shape, delivering user-facing behavioral docs that save weeks on reverse distillation github tasks.

Who should use this?

Teams refactoring legacy monoliths or forking repos need it to generate specs without inheriting tech debt. Acquisition integrators reverse engineering acquired codebases benefit from the test vectors and journeys. Open source maintainers documenting untested features will appreciate the completeness checks.

Verdict

Try it if you're deep in github reverse engineering workflows—Apache 2.0 licensed and CLI-simple—but with 47 stars and 1.0% credibility score, it's raw early access; solid README but expect iteration on edge cases like complex binaries. Worth a test drive for Claude users eyeing clean reimplementations.

(198 words)

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